S&P Global Hiring for Data Analysis Specialist at Gurgaon Full Time

Data Analysis Specialist4 to 6 years of experienceLocation – GurgaonDepartment – Business IntelligenceShift Timings – 2:00PM to 11:00PM ISTDepartment overviewJoin our Winning Team as a Data Integration SpecialistWhen was the last time you bragged about where you work? At CARFAX, we do it every day. Why? Because we’re proud to work for a company with a strong mission and trusted brand. We’re proud to work with people who care about what they do and work hard every day to deliver their best. We’ve created the type of company culture where the term, “work- hard play- hard” is taken to new heights. Even today, while working remotely, our culture is strong and our team is connected!Position SummaryAs a hands-on Data Analysis Specialist on the Business Intelligence (BI) team, you will help provide trusted reporting, data, and analytics for CARFAX to demonstrate value across business channels, assess product performance to influence direction, support internal business operations, and external customer facing products. You will play a key role in BI DevSecOps team to ensure data processes meet expected quality standards and SLAs.What You’ll DoPartner with CARFAX departments and establish relationships with internal clients to provide information to help make strong, informed business decisions.Work closely with members of the BI team to develop solutions to business challenges.Be an integral part of process improvement to continuously increase efficiencies.Have opportunities to think creatively and to learn new tools and technologies.Help build and deploy Advanced Analytics and Machine Learning models on our Data Lake Platform.Support data pipeline engineering and automationWhat You Need to Get the Job DoneEducation level: Bachelors in Information technology, Computer Science or equivalent experience.Year of Experience: 4 to 6 YearsSpecific skills4 to 6 years of experience in analytics, business intelligence or comparable data engineering roleExperience with commercial BI suite of tools, such as Cognos, Power BI, Tableau, or equivalentStrong SQL skills are required. Must have the ability to write complex, highly optimized queries across large volumes of dataExperience in Python/Pyspark and related libraries (like Pandas, NumPy, Seaborn, etc.) for building analytics models.A strong business acumen and the ability to work directly with business users to understand requirements and develop effective data solutionsDevelop technical documentation to support data solutionsWilling to learn and work well in a cross-functional team environmentStrong collaboration, communication, and interpersonal skillsPreferred skillsUnderstanding of data warehousing conceptsExperience with Data Lake is highly preferred.Experience in Agile methodology and onsite-offshore project modelUnderstanding of Machine Learning fundamentalsExperience developing and scheduling data pipelines.Personal characteristicsCarfax prefers collaboration over video conference. Candidate should be comfortable with the same.CertificationsSQL and/or Python certificationsWhat You’ll Love About Us – Do ask us about these!· Total Rewards. Monetary, beneficial and developmental rewards!· Work Life Balance. You can’t do a good job if your job is all you do!· Prepare for the Future. Academy – we are all learners; we are all teachers!· Employee Assistance Program. Confidential and Professional Counselling and Consulting.· Diversity & Inclusion. HeForShe!· Internal Mobility. Grow with us!Company overviewS&P Global harnesses deep sources of information, analytics and expertise to forge solutions for the industries and markets that drive global economies. Our company partners with clients in business, finance and government to provide the unrivalled insights and perspectives that lead to well-informed, confident decisions. We call this The New Intelligence.S&P Global serves more than 50,000 key customers in more than 140 countries, including 80 percent of the Fortune Global 500. We help decision makers apply higher-level thinking to daily tasks and strategic issues across a host of industries and disciplines including energy, finance, automotive, engineering, technology, maritime and trade, chemical, and economics and country risk.